AlgorithmsΒΆ
- Kernel Density Estimation and Non-parametric Bayes Classifier
- K-Means
- Kernel Principal Components Analysis
- Linear Regression
- Neighbors (Nearest, Farthest, Range, k, Classification)
- Non-Negative Matrix Factorization
- Support Vector Machines
- Dimensionality Reduction
- Fast Singular Value Decomposition
- Decision Tree
- Hadoop based Bootstrapped SVM
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An Introduction to Machine Learning
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Kernel Density Estimation and Non-parametric Bayes Classifier